Study on Structural Damage Detection Using RBF Network

Jin Sheng Fan; Ying Yuan; Xiu Ling Cao

doi:10.4028/www.scientific.net/AMM.578-579.1125

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 578-579Study on Structural Damage Detection Using RBF...

Study on Structural Damage Detection Using RBF Network

Abstract:

Based on mode shape, a new parameter was put forward—mode shape curvature ratio, for detecting structure damages. And it was also the input vector of the RBF neural network. Then through finite element analysis and calculating, the training and forecasting samples were got for the network. The trained neural network can identify the damage location and degree of the frame structure. It proved that this method is simple and valid.

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Periodical:

Applied Mechanics and Materials (Volumes 578-579)

Pages:

1125-1128

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.578-579.1125

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Online since:

July 2014

Authors:

Jin Sheng Fan*, Ying Yuan, Xiu Ling Cao

Keywords:

Damage Detection, Mode Shape Curvature Ratio, RBF Neural Network

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